End of training
Browse files- README.md +16 -4
- all_results.json +16 -0
- eval_results.json +10 -0
- train_results.json +9 -0
- trainer_state.json +921 -0
README.md
CHANGED
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@@ -2,11 +2,23 @@
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library_name: transformers
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: bert_base_rand_50_v2
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-
results:
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---
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| 11 |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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@@ -14,10 +26,10 @@ should probably proofread and complete it, then remove this comment. -->
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# bert_base_rand_50_v2
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-
This model is a fine-tuned version of [](https://huggingface.co/) on
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It achieves the following results on the evaluation set:
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-
- Loss:
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-
- Accuracy: 0.
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## Model description
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library_name: transformers
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tags:
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- generated_from_trainer
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+
datasets:
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- Hartunka/processed_wikitext-103-raw-v1-rand-50
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metrics:
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- accuracy
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model-index:
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- name: bert_base_rand_50_v2
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+
results:
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+
- task:
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name: Masked Language Modeling
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type: fill-mask
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dataset:
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name: Hartunka/processed_wikitext-103-raw-v1-rand-50
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type: Hartunka/processed_wikitext-103-raw-v1-rand-50
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metrics:
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- name: Accuracy
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type: accuracy
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| 21 |
+
value: 0.15330281968695258
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| 22 |
---
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| 23 |
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| 24 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 26 |
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# bert_base_rand_50_v2
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| 28 |
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+
This model is a fine-tuned version of [](https://huggingface.co/) on the Hartunka/processed_wikitext-103-raw-v1-rand-50 dataset.
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| 30 |
It achieves the following results on the evaluation set:
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+
- Loss: 10.0853
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+
- Accuracy: 0.1533
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## Model description
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| 35 |
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all_results.json
ADDED
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@@ -0,0 +1,16 @@
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{
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"epoch": 25.0,
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"eval_accuracy": 0.15330281968695258,
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+
"eval_loss": 10.085304260253906,
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+
"eval_runtime": 1.0293,
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"eval_samples": 479,
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"eval_samples_per_second": 465.348,
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"eval_steps_per_second": 4.857,
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"perplexity": 23987.88668012822,
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+
"total_flos": 1.5155177772432384e+18,
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+
"train_loss": 8.017368304479232,
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+
"train_runtime": 24861.7911,
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+
"train_samples": 228639,
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"train_samples_per_second": 229.91,
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"train_steps_per_second": 2.395
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}
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eval_results.json
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{
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"epoch": 25.0,
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"eval_accuracy": 0.15330281968695258,
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"eval_loss": 10.085304260253906,
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"eval_runtime": 1.0293,
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"eval_samples": 479,
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"eval_samples_per_second": 465.348,
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"eval_steps_per_second": 4.857,
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"perplexity": 23987.88668012822
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}
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train_results.json
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{
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"epoch": 25.0,
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"total_flos": 1.5155177772432384e+18,
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+
"train_loss": 8.017368304479232,
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+
"train_runtime": 24861.7911,
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+
"train_samples": 228639,
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"train_samples_per_second": 229.91,
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"train_steps_per_second": 2.395
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}
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trainer_state.json
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